A. S. Brzhezinskii, M. S. Ermolin, V. K. Karandashev, P. S. Fedotov
{"title":"Optimization of Sample Preparation Methods to Improve the Efficiency of Nanoparticle Extraction from Environmental Samples","authors":"A. S. Brzhezinskii, M. S. Ermolin, V. K. Karandashev, P. S. Fedotov","doi":"10.1134/S1061934825700741","DOIUrl":null,"url":null,"abstract":"<p>A methodological gap in the study of environmental nanoparticles is largely due to their extremely low concentrations—typically around 0.01–0.1%—in ash, dust, or soil, which significantly complicates their extraction and quantification. This study demonstrates the efficiency of a novel sample preparation protocol for volcanic ash samples, involving sequential dispersion in 0.1 M NaCl and 2 mM Na<sub>4</sub>P<sub>2</sub>O<sub>7</sub>, followed by nanoparticle extraction by flow field-flow fractionation in a rotating coiled column, using a 2 mM Na<sub>4</sub>P<sub>2</sub>O<sub>7</sub> solution as an eluent. Thise method ensures an increase in the mass of the extracted nanoparticles by one order of magnitude and enables the detection of elements such as Be, Cr, Co, Zn, Ag, Sb, Te, Ta, W, Tl, and Bi in ash-derived nanoparticles from various volcanoes in concentrations below the limits of detection by ICP–MS using deionized water as an eluent. In addition, the results of the procedure are not distorted by analytical artifacts, such as the formation of poorly soluble calcium phosphates during sample preparation. This approach provides a foundation for the systematic studies of ash-derived nanoparticles from a wide range of volcanic types, as well as of urban dust.</p>","PeriodicalId":606,"journal":{"name":"Journal of Analytical Chemistry","volume":"80 :","pages":"1532 - 1542"},"PeriodicalIF":1.1000,"publicationDate":"2025-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Analytical Chemistry","FirstCategoryId":"92","ListUrlMain":"https://link.springer.com/article/10.1134/S1061934825700741","RegionNum":4,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"CHEMISTRY, ANALYTICAL","Score":null,"Total":0}
引用次数: 0
Abstract
A methodological gap in the study of environmental nanoparticles is largely due to their extremely low concentrations—typically around 0.01–0.1%—in ash, dust, or soil, which significantly complicates their extraction and quantification. This study demonstrates the efficiency of a novel sample preparation protocol for volcanic ash samples, involving sequential dispersion in 0.1 M NaCl and 2 mM Na4P2O7, followed by nanoparticle extraction by flow field-flow fractionation in a rotating coiled column, using a 2 mM Na4P2O7 solution as an eluent. Thise method ensures an increase in the mass of the extracted nanoparticles by one order of magnitude and enables the detection of elements such as Be, Cr, Co, Zn, Ag, Sb, Te, Ta, W, Tl, and Bi in ash-derived nanoparticles from various volcanoes in concentrations below the limits of detection by ICP–MS using deionized water as an eluent. In addition, the results of the procedure are not distorted by analytical artifacts, such as the formation of poorly soluble calcium phosphates during sample preparation. This approach provides a foundation for the systematic studies of ash-derived nanoparticles from a wide range of volcanic types, as well as of urban dust.
期刊介绍:
The Journal of Analytical Chemistry is an international peer reviewed journal that covers theoretical and applied aspects of analytical chemistry; it informs the reader about new achievements in analytical methods, instruments and reagents. Ample space is devoted to problems arising in the analysis of vital media such as water and air. Consideration is given to the detection and determination of metal ions, anions, and various organic substances. The journal welcomes manuscripts from all countries in the English or Russian language.